We use Sentence-BERT [1]}, [2]} to measure the relevance between the query and the evidence chains in the adaptive integrator.
For the pairwise option competition, we use
Chinese RoBERTa-wwm-ext-Large [3]} with Transformers toolkit [4]}.
We first fine-tune our model on OCNLI [5]}, a Chinese natural language inference dataset before fine-tuning on VGaokao, which has 8 epochs, with maximum input length 256, batch size 64, and learning rate 2e-5.
